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Data on Mathematics Described by Researchers at Huazhong University of Science and Technology (A Trajectory Tracking Method of Parallel Manipulator Based On Kinematic Control Algorithm)

机译:数学研究人员所描述的数据华中科技大学(一个轨迹跟踪的并行方法机械手基于运动控制算法)

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By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Mathematics have been presented. According to news reporting originating in Hubei, People’s Republic of China, by NewsRx journalists, research stated, “A trajectory tracking method based on a dynamic recursive fuzzy neural network (DRFNN) proportional-integral-derivative (PID) controller and an improved artificial fish-swarm algorithm (IAFA) is proposed to control a 6-DOF parallel manipulator. First, a kind of internal feedback structure of universal dynamic neural networks, i.e., the dynamic recursive neural cell, is employed to improve the layers of fuzzy neural network (FNN) and thus to improve the time-varying property and dynamic mapping ability of the network.”
机译:由一个新闻记者在网络新闻编辑每日新闻-数据详细的数学上被提出。来自湖北,中华人民共和国,NewsRx记者,研究指出:“一个基于动态轨迹跟踪方法递归模糊神经网络(DRFNN)proportional-integral-derivative控制器(PID)和一种改进的人工fish-swarm算法(IAFA)控制提出了一种6自由度并联操纵器通用动态神经网络结构,也就是说,动态递归神经细胞用来提高模糊神经的层网络(模糊神经网络),从而改善时变特性和动态映射能力网络的。”

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    《Network Daily News 》 |2022年第8期| 88-89| 共2页
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  • 正文语种 英语
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